Statistical Methods for Environmental Epidemiology with R
A Case Study in Air Pollution and Health
Seiten
2008
Springer-Verlag New York Inc.
978-0-387-78166-2 (ISBN)
Springer-Verlag New York Inc.
978-0-387-78166-2 (ISBN)
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
Studies of Air Pollution and Health.- to R and Air Pollution and Health Data.- Reproducible Research Tools.- Statistical Issues in Estimating the Health Effects of Spatial–Temporal Environmental Exposures..- Exploratory Data Analyses.- Statistical Models.- Pooling Risks Across Locations and Quantifying Spatial Heterogeneity.- A Reproducible Seasonal Analysis of Particulate Matter and Mortality in the United States.
Reihe/Serie | Use R! |
---|---|
Zusatzinfo | X, 144 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
ISBN-10 | 0-387-78166-8 / 0387781668 |
ISBN-13 | 978-0-387-78166-2 / 9780387781662 |
Zustand | Neuware |
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